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Prediction of fatigue–crack growth with neural network-based increment learning scheme

Xinran Ma, Xiaofan He, Z. C. Tu

2020Engineering Fracture Mechanics90 citationsDOI

Topics & Concepts

Artificial neural networkParis' lawEconomic shortageStructural engineeringTitanium alloyBackpropagationComputer scienceWork (physics)Materials scienceArtificial intelligenceAlloyCrack closureFracture mechanicsEngineeringMechanical engineeringComposite materialGovernment (linguistics)PhilosophyLinguisticsNon-Destructive Testing TechniquesFatigue and fracture mechanicsHydrogen embrittlement and corrosion behaviors in metals
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